tongdaxu / EEG_Emotion_Classifier_DEAPLinks
EEG Emotion classification using the DEAP pre-processed data
☆163Updated 7 years ago
Alternatives and similar repositories for EEG_Emotion_Classifier_DEAP
Users that are interested in EEG_Emotion_Classifier_DEAP are comparing it to the libraries listed below
Sorting:
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆92Updated 8 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆132Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆88Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆90Updated 3 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆186Updated 6 years ago
- ☆33Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆137Updated 4 years ago
- Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python…☆39Updated 6 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Updated 7 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆81Updated last year
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆212Updated 5 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆50Updated 4 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆150Updated 4 months ago
- ☆69Updated 7 years ago